Threshold-free high-power methods for the ontological analysis of genome-wide gene expression studies

Björn Nilsson, Petra Johnels, Mikael Johansson, Sven Nelander, Thoas Fioretos

Research output: Contribution to journalArticlepeer-review

Abstract

Ontological analysis facilitates microarray data interpretation. We describe new ontological analysis methods which, unlike existing approaches, are threshold-free and statistically powerful. We perform extensive evaluations and introduce a new concept, detection spectra, to characterize methods. We show that different ontological analysis methods exhibit distinct detection spectra, and that it is critical to account for this diversity. Our results argue strongly against the continued use of existing methods, and provide directions towards an enhanced approach.
Original languageEnglish
JournalGenome Biology
Volume8
Issue number5
DOIs
Publication statusPublished - 2007

Subject classification (UKÄ)

  • Medical Genetics

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